This paper presents the design, implementation, and experimental results of an architecture for autonomous demand-side load management (ADSM) system for Smart Buildings in view of influencing the energy demand in the Smart Grid. In such an architecture, the management system has a layered structure and appliances' operation is modeled as a finite state machine, which enables an efficient load control using scheduling techniques borrowed from real-time computing systems. In this study the Admission Control, which is the bottom layer of the presented architecture interacting in real-time with physical equipments, is addressed and the real-time power consumption management in a residential dwelling is implemented and tested in a real office building. The experimental results provide a proof of concept for the proposed architecture and demonstrate the applicability of the on-line scheduling approach for ADSM systems for smart buildings.
|Title of host publication||Proceedings of 3rd IEEE PES Innovative Smart Grid Technologies Europe Conference|
|Publication status||Published - 2012|
|Event||3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012) - Berlin, Germany|
Duration: 14 Oct 2012 → 17 Oct 2012
Conference number: 3
|Conference||3rd IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference (IEEE PES ISGT Europe 2012)|
|Period||14/10/2012 → 17/10/2012|
Bibliographical noteThis work was supported by DERri, Distributed Energy Resources research infrastructure (FP7 Contract: 228449, TA-ID: 20110131-04), and by Mprime, the Canadian Network of Centres of Excellence for the mathematical sciences.
- Smart Grid
- Autonomous demand side management (ADSM)
- Energy management
- Real-time scheduling